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Research Topic : Affective computing
Australian State/Territory : QLD
Scheme : Discovery Projects
Australian State/Territory : WA
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  • Funded Activity

    Discovery Projects - Grant ID: DP140104189

    Funder
    Australian Research Council
    Funding Amount
    $445,000.00
    Summary
    The online future of Science and Engineering education: The essential elements of laboratory-based learning for remote-access implementation. Laboratory classes are a critical part of science and engineering degree programs, but there has been little research into what actually takes place within them. Remote laboratories, in which students control equipment via the internet, are one potential solution for accommodating rising numbers of students, but the interfaces must be developed to effectiv .... The online future of Science and Engineering education: The essential elements of laboratory-based learning for remote-access implementation. Laboratory classes are a critical part of science and engineering degree programs, but there has been little research into what actually takes place within them. Remote laboratories, in which students control equipment via the internet, are one potential solution for accommodating rising numbers of students, but the interfaces must be developed to effectively support student learning. This project will investigate how students interact with equipment, each other, and with laboratory demonstrators in order to determine the crucial components of effective laboratory learning experiences. It will identify and characterise the interactions of students in laboratory classes, and develop mechanisms to support these interactions remotely.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220102042

    Funder
    Australian Research Council
    Funding Amount
    $485,575.00
    Summary
    Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn .... Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.
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